Jer Thorp, an artist and educator from Vancouver, Canada, visualizes when people “wake up” on Twitter, or when they say good morning, rather. Here it is in its 3-d globe glory. It’s called GoodMorning!. Notice the wave.
Okay, wait, I know you’re already furiously leaving or thinking about a comment on how absolutely useless and non-concrete this is – and Jer is the first to admit that – but there is obviously something to learn here.
However, it’s late, and I’m tired, so I’ll leave that up to you. But off the top of my head, I’m thinking a more relevant subject like disease or need of help and color coding that’s more meaningful. Your turn.
It’s pretty interesting to see the wave effect and it makes me wonder what other Twitter “events” are similarly rooted in geography. Otherwise, I don’t think there would be much to see on a map/globe like this. Watching a retweet spread globally could be pretty cool, though.
Maybe tweets specific to particular types of weather would form an interesting visualization: e.g., tweets containing the word “lightning” or “windy”.
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It’s cool eye-candy.
But I would be able to learn more if it was done as a flat map/mercator projection – so I could see the whole world at once…
Might be more useful if there was some relevant context about whether or not Daylight savings time actually does anything for anyone on energy conservation; or does it just to serve to confuse, and frustrate the masses.
I agree with Nathan’s closing comment regarding disease. I have lots of current and historical data on West Nile Virus, but lack the skills of data-visualizers to make it really dynamic. If anyone is interested in a collaboration, contact me through Nathan Yau at FlowingData. Eric
Thanks for the post. Thought I’d let everyone know that the project is open-sourced:
The source-code might be useful for others who’d like to use a similar model to explore more useful ideas.
Something like what Robert Hodgin (http://www.flight404.com) did with his Earthquakes visualization seems more appropriate for this type of 3D effect.
Jer also did something with Twitter and flight landings i.e. “just landed”:
There is a very obvious commercial application here for brands to measure awareness across the Twittersphere by tracking mentions of their brand name or key phrases related. It gives a lovely visual sense of global impact, well done, Jeff Thorpe! There is so much discussion over ROI in twitter time/effort and this could really contribute.
That’s a great idea, Ash. Measure the effects of Twitter marketing campaigns and visualize retweets on a map.
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“I’m thinking a more relevant subject like disease”
Do you mean something like Googl flu trends but for Twitter ? Not bad, but you probably would want to take the RT out of the computation.
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One can almost see the moves in 3’s and 5’s, much like an Elliot Wave Pattern. The underlying rule that governs the Elliot Wave Pattern is The Golden Ratio, saying Good Morning is all part of the clockwork.
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